Data Science Analyst
Data & Analytics
Mid
Barcelona

Who we are

The next step of your career starts here, where you can bring your own unique mix of skills and perspectives to a fast-growing team.

Metyis is a global and forward-thinking firm operating across a wide range of industries, developing and delivering AI & Data, Digital Commerce, Marketing & Design solutions and Advisory services. At Metyis, our long-term partnership model brings long-lasting impact and growth to our business partners and clients through extensive execution capabilities.

With our team, you can experience a collaborative environment with highly skilled multidisciplinary experts, where everyone has room to build bigger and bolder ideas. Being part of Metyis means you can speak your mind and be creative with your knowledge. Imagine the things you can achieve with a team that encourages you to be the best version of yourself.

We are Metyis. Partners for Impact.

What we offer

  • Interact with senior stakeholders on regular basis, to drive their business towards impactful change.
  • Become the go-to person for end-to-end data handling, management and analytics processes.
  • Work with Data Engineers to take data throughout its lifecycle - acquisition, exploration, data cleaning, integration, analysis, interpretation and visualization.
  • Become part of a fast-growing international and diverse team.

What you will do

  • Assist in analyzing datasets to identify trends, patterns, and insights, with a particular focus on energy consumption, production, and management.
  • Develop, implement, and maintain basic predictive models and machine learning algorithms under the guidance of senior team members.
  • Collaborate with cross-functional teams to understand business requirements and contribute to data-driven solutions.
  • Create data visualizations to communicate findings and recommendations to both technical and non-technical stakeholders.
  • Support in evaluating and improving model performance through validation techniques and hyperparameter tuning.
  • Stay updated with the latest trends and advancements in data science and machine learning, especially as they pertain to the energy sector.
  • Support solving problems, disaggregate issues, develop hypotheses and develop actionable recommendations from data analysis and analytical models, under supervision of consultants and Managers.
  • Start communicating analyses via compelling presentations.
  • Prepare and participate in both workshops and presentations.

What you’ll bring

  • Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, or a related field. A Master’s degree is a plus.
  • Some experience (e.g., internships, projects, or 1-2 years of work) in a Data Scientist role or related position.
  • Basic programming skills in Python (R or Scala is a plus).
  • Knowledge of predictive modeling techniques, time-series analysis, regression analysis, clustering, classification, and dimensionality reduction.
  • Familiarity with machine learning tools and libraries (e.g., scikit-learn, TensorFlow, PyTorch).
  • Knowledge in SQL and database management systems.
  • Ability to manipulate and analyze datasets using tools such as Pandas, NumPy, and other data analysis libraries.
  • Good communication skills and the ability to work collaboratively in a consultancy environment.

Preferred skills:

  • Familiarity with cloud services, particularly Azure.
  • Basic knowledge of GitHub and version control.
  • Exposure to deploying models in production environments.
  • Interest in advanced machine learning techniques such as deep learning, NLP, and reinforcement learning.
  • Awareness of energy sector challenges and opportunities.
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